Publications

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L
Lipovetzky, N., Muise, C., and Geffner, H., Traps, Invariants, and Dead-ends, Proc. 26th Int. Joint Conf. on Artificial Intelligence, 2016.
Lipovetzky, N., and Geffner, H., Width and Serialization of Classical Planning Problems., ECAI, 2012, pp. 540–545.
Lipovetzky, N., and Geffner, H., Width-based algorithms for classical planning: New results, Heuristics and Search for Domain Independent Planning, vol. 16, 2014, p. 88.
Lipovetzky, N., Ramírez, M., and Geffner, H., C3: Planning with consistent causal chains, Int. Planning Competition Booklet (IPC-6), 2008.
Lipovetzky, N., Ramírez, M., Muise, C., and Geffner, H., Width and inference based planners: SIW, BFS (f), and PROBE, Proceedings of the 8th International Planning Competition (IPC-2014), 2014.
Lipovetzky, N., and Geffner, H., Searching for plans with carefully designed probes, Proc. of Int. Conf. Automated Planning and Scheduling (ICAPS-11), Freiburg, Germany: 2011. Paper ICAPS 2011 (269.36 KB)
Lipovetzky, N., and Geffner, H., Searching with probes: The classical planner probe, The 2011 International Planning Competition, vol. 30, 2011, p. 71.
Llera, A., Gómez, V., and Kappen, H. J., Adaptive Multiclass Classification for Brain Computer Interfaces, Neural computation, vol. 26, 2014, pp. 1108–1127.
Llera, A., Gómez, V., and Kappen, H. J., Quantitative analysis of task selection for brain-computer interfaces, Journal of Neural Engineering, vol. 11, 2014, p. 056002.
López, C. Linares, Jiménez, S., and Helmert, M., Automating the evaluation of planning systems, {AI} Commun., vol. 26, 2013, pp. 331–354.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artif. Intell., vol. 223, 2015, pp. 82–119.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artificial Intelligence, vol. 223, 2015, pp. 82–119.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the Planning and Learning (PAL) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS'15), 2015, pp. 15-23.
Lotinac, D., Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM'15), 2015.
Lotinac, D., and Jonsson, A., Constructing Hierarchical Task Models Using Invariance Analysis, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16), 2016.
N
Neu, G., and Valko, M., Online combinatorial optimization with stochastic decision sets and adversarial losses, Advances in Neural Information Processing Systems 27 (NIPS), 2014, pp. 2780-2788.
Neu, G., György, A., Szepesvári, \textC., and Antos, A., Online Markov Decision Processes under Bandit Feedback, IEEE Transactions on Automatic Control, vol. 59, 2013, pp. 676–691.
Neu, G., and Szepesvári, \textC., Training parsers by inverse reinforcement learning, Machine Learning Journal, vol. 77, 2009, pp. 303–337.
Neu, G., First-order regret bounds for combinatorial semi-bandits, {Proceedings of the 27th Annual Conference on Learning Theory (COLT)}, 2015, pp. 1360-1375.

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